2019-04-12 12:30:19 +00:00
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# Test format: shuffling
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2019-05-06 15:30:32 +00:00
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The runner of the Shuffling test type has only one handler: `core`.
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2019-04-12 12:30:19 +00:00
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2019-05-06 15:30:32 +00:00
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However, this does not mean that testing is limited.
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2019-04-12 12:30:19 +00:00
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Clients may take different approaches to shuffling, for optimizing,
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and supporting advanced lookup behavior back in older history.
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For implementers, possible test runners implementing testing can include:
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2019-07-30 13:06:15 +00:00
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1) Just test permute-index, run it for each index `i` in `range(count)`, and check against expected `mapping[i]` (default spec implementation).
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2019-05-06 15:30:32 +00:00
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2) Test un-permute-index (the reverse lookup; implemented by running the shuffling rounds in reverse, from `round_count-1` to `0`).
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3) Test the optimized complete shuffle, where all indices are shuffled at once; test output in one go.
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4) Test complete shuffle in reverse (reverse rounds, same as #2).
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2019-04-12 12:30:19 +00:00
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## Test case format
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2019-07-30 13:06:15 +00:00
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### `mapping.yaml`
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2019-04-12 12:30:19 +00:00
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```yaml
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seed: bytes32
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count: int
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mapping: List[int]
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2019-04-12 12:30:19 +00:00
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```
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2019-07-30 20:16:43 +00:00
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- The `bytes32` is encoded as a string, hexadecimal encoding, prefixed with `0x`.
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2019-04-12 12:30:19 +00:00
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- Integers are validator indices. These are `uint64`, but realistically they are not as big.
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The `count` specifies the validator registry size. One should compute the shuffling for indices `0, 1, 2, 3, ..., count (exclusive)`.
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2019-07-30 13:06:15 +00:00
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The `seed` is the raw shuffling seed, passed to permute-index (or optimized shuffling approach).
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2019-04-12 12:30:19 +00:00
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2019-07-30 13:06:15 +00:00
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The `mapping` is a look up array, constructed as `[spec.compute_shuffled_index(i, count, seed) for i in range(count)]`
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I.e. `mapping[i]` is the shuffled location of `i`.
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## Condition
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2019-04-12 12:30:19 +00:00
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2019-07-30 13:06:15 +00:00
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The resulting list should match the expected output after shuffling the implied input, using the given `seed`.
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The output is checked using the `mapping`, based on the shuffling test type (e.g. can be backwards shuffling).
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